time

Purpose: build the ID array of system dofs to apply displacement constraints Synopsis: [csdof,sid]=fe_sdofID(discons,ndof,nnode) Variable Description: csdof - the number of system dofs after constraints applied sid - ID matrix of system dof formatted as nnode*ndof discons - matrix record the node of displacement constrain ndof - number of dofs per node nnode - number of nodes in system(Purpose: build the ID array of system dofs to apply displacement constraints Synopsis: [csdof,sid]=fe_sdofID(discons,ndof,nnode) Variable Description: csdof- the number of system dofs after constraints applied sid- ID matrix of system dof formatted as nnode*ndof discons- matrix record the node of displacement constrain ndof- number of dofs per node nnode- number of nodes in system)

基于Matlab环境，对雷达信号，基于高斯模型的回波进行仿真。(Based on the Matlab environment, the radar signal, based on the Gauss model of echo simulation.)

此压缩包包含两个程序，一个为录音程序，另一个为放音程序，皆用MATLAB编写，可以改变采集信号的频率和指定播放频率。是在学习数字信号处理中用到的一个小练习。欢迎尝试运行，和进一步修改。(This compressed package contains two programs, one for recording the program, and the other for playback program, are using MATLAB, you can change the frequency of collection and the specified playback signal frequency. Digital signal processing is used to learn a little practice. Welcome to try to run, and further modified.)

读取保存在TXT文本文档的手势信号，显示并保存成mat文件，简单易用，适合尚未入门者使用(Read hand signals stored in TXT text documents, display and save a mat file, easy to use, suitable for beginners to use yet)

matlab code fore interleaver on ofdm transverse

说明：  实现原始LBP特征提取，并通过统计直方图进行提取，(The original LBP feature is extracted by statistical histogram,)

matlab很多使用的画图小程序，非常使用，囊括了很多，运行可靠！(matlab drawing a lot of small programs used, very used, include a number of reliable operation!)

AdaBoost元算法属于boosting系统融合方法中最流行的一种，说白了就是一种串行训练并且最后加权累加的系统融合方法。 具体的流程是：每一个训练样例都赋予相同的权重，并且权重满足归一化，经过第一个分类器分类之后， 计算第一个分类器的权重alpha值，并且更新每一个训练样例的权重，然后再进行第二个分类器的训练，相同的方法....... 直到错误率为0或者达到指定的训练轮数，其中最后预测的标签计算是各系统*alpha的加权和，然后sign（预测值）。 可以看出，训练流程是串行的，并且训练样例的权重是一直在变化的，分错的样本的权重不断加大，正确的样本的权重不断减小。 AdaBoost元算法是boosting中流行的一种，还有其他的系统融合的方法，比如bagging方法以及随机森林。 对于非均衡样本的处理，一般可以通过欠抽样(undersampling)或者过抽样(oversampling)，欠抽样是削减样本的数目， 过抽样是重复的选取某些样本，最好的方法是两种进行结合的方法。 同时可以通过删除离决策边界比较远的样例。 (AdaBoost boosting systems dollar fusion algorithm is the most popular one, it plainly systems integration approach is a serial train and final weighted cumulative. Specific process is: Each training example is given equal weight, and the weights satisfy normalization, after the first classifiers after Calculating a first classifier weights alpha value for each sample and updates right weight training, and then the second classifier training, the same way ....... 0, or until the specified error rate training rounds, wherein the label is the calculation of the final prediction system* alpha weighted and then sign (predicted value). As can be seen, the training process is serial, and weight training examples is always changing, the right of the wrong sample weight continued to increase, the right to correct sample weight decreasing. AdaBoost algorithm is an element, as well as other methods of boosting popular systems integration, such as bagging and random forest method. For )

说明：  对单幅图像进行基于空域正则化处理，实现图像的超分辨率(Regularization of the image processing to achieve super-resolution)

程序为威尔逊秩和检验程序，用于进行秩和检验计算的人员参考使用。(The procedure for the Wilson rank sum test procedure is used by the personnel for the rank sum test calculation.)